Did the increase in counterparty risk perception in the interbank market since autumn 2007 contribute to the severe contraction of the US economy? To address this question we introduce interbank market uncertainty in a DSGE model with frictional financial intermediation. Interbank uncertainty is...

This paper investigates the accuracy of point and density forecasts of four dynamic stochastic general equilibrium (DSGE) models for output growth, inflation and the interest rate. The model parameters are estimated and forecasts are derived successively from historical U.S. data vintages...

The detection of business-cycle turning points is usually performed with non-linear discrete-regime models such as binary dependent variable (e.g., probit or logit) or Markov-switching methods. The probit model has the drawback that the continuous underlying target variable is discretized, with...

The paper considers two rival models referring to the new macroeconomic consensus: a standard three-equations model of the New-Keynesian variety and dynamic adjustments of a business and an inflation climate in an `Old-Keynesian' tradition. Over the two subperiods of the Great Inflation and...

The paper considers an elementary New-Keynesian three equation model and compares its Bayesian estimation to the results from the method of moments (MM), which seeks to match a finite set of the model-generated second moments of in ation, output and the interest rate to their empirical...

This study analyzes the performance of the IMF World Economic Outlook forecasts for world output and the aggregates of both the advanced economies and the emerging and developing economies. With a focus on the forecast for the current and the next year, we examine whether IMF forecasts can be...

Mixed-data sampling (MIDAS) regressions allow to estimate dynamic equations that explain a low-frequency variable by high-frequency variables and their lags. To account for temporal instabilities in this relationship, this paper discusses an extension to MIDAS with time-varying parameters, which...

We study the forecasting performance of three alternative large scale approaches for German key macroeconomic variables using a dataset that consists of 123 variables in quarterly frequency. These three approaches handle the dimensionality problem evoked by such a large dataset by aggregating...

Forecast models with large cross-sections are often subject to overparameterization leading to unstable parameter estimates and hence inaccurate forecasts. Recent articles suggest that a large Bayesian vector autoregression (BVAR) with sufficient prior information dominates competing approaches....

Inflation expectations are often found to depend on socioeconomic and demographic characteristics of households, such as age, income and education, however, the reasons for this systematic heterogeneity are not yet fully understood. Since accounting for these expectation differentials could help...